Distinctive Sources Govern Organic Aerosol Fractions with Different Degrees of Oxygenation in the Urban Atmosphere

• Published in: Environmental science & technology 2021-04, Vol.55 (8), p.4494-4503
• Main Authors: Zhou, Ruichen, Chen, Qingcai, Chen, Jing, Ren, Lujie, Deng, Yange, Vodička, Petr, Deshmukh, Dhananjay K, Kawamura, Kimitaka, Fu, Pingqing, Mochida, Michihiro
• Format: Article
• Language: English
• Subjects: Aerosols; Aerosols - analysis; Air Pollutants - analysis; Anthropogenic Impacts on the Atmosphere; Atmosphere; Beijing; Biomass burning; Burning; Chemical fractionation; Cooking; Environmental impact; Environmental Monitoring; Fossil fuels; Fractionation; Humic Substances - analysis; Mass spectra; Organic matter; Oxygenation; Particulate Matter - analysis; Polarity; Spectroscopy, Fourier Transform Infrared; Statistics; Urban atmosphere
• ISSN: 0013-936X; 1520-5851
• DOI: 10.1021/acs.est.0c08604

Understanding how the sources of an atmospheric organic aerosol (OA) govern its burden is crucial for assessing its impact on the environment and adopting proper control strategies. In this study, the sources of OA over Beijing were assessed year-around based on the combination of two separation approaches for OA, one from chemical fractionation into the high-polarity fraction of water-soluble organic matter (HP-WSOM), humic-like substances (HULIS), and water-insoluble organic matter (WISOM), and the other from statistical grouping using positive matrix factorization (PMF) of high-resolution aerosol mass spectra. Among the three OA fractions, HP-WSOM has the highest O/C ratio (1.36), followed by HULIS (0.56) and WISOM (0.17). The major sources of different OA fractions were distinct: HP-WSOM was dominated by more oxidized oxygenated OA (96%); HULIS by cooking-like OA (40%), less oxidized oxygenated OA (27%), and biomass burning OA (21%); and WISOM by fossil fuel OA (77%). In addition, our results provide evidence that mass spectral-based PMF factors are associated with specific substructures in molecules. These structures are further discussed in the context of the FT-IR results. This study presents an overall relationship of OA groups monitored by chemical and statistical approaches for the first time, providing insights for future source apportionment studies.